Hadderajan — CS2 Stats
76561198048929175[U:1:88663447]
How this compares with the same rank
Median values for Level 3 among CSDB-tracked players (n=607), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 3 median | Level 4 median | vs Level 4 |
|---|---|---|---|---|
| Headshot rate | 28.4% | 42.1% | 42.5% | 14.0% short |
| Shot accuracy | 22.1% | 12.1% | 10.9% | above |
| Kill/death ratio | 0.93 | 0.99 | 0.99 | 0.07 short |
| Match win rate | 44.6% | 43.9% | 44.2% | meets |
This profile matches the typical Level 4 player on 2 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · -0.02 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Limited utility dependence
Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.
Your pro match
Plays most like NiKo 78% playstyle similarity
Most alike: opening-duel success, positioning profile.
Where you differ: lower aim profile; lower utility contribution.
Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →
Strengths & areas to improve
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 629ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.
CSDB Rating breakdown
Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.
Trends
Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
 inferno | A | 44 | 25–19 | 57% | -0.01 |
 ancient | C | 17 | 7–10 | 41% | -0.00 |
 nuke | B | 12 | 6–6 | 50% | -0.01 |
 anubis | C | 8 | 3–5 | 38% | -0.01 |
 overpass | — | 4 | 1–3 | 25% | -0.04 |
 mirage | — | 4 | 3–1 | 75% | 0.01 |
 cache | — | 3 | 2–1 | 67% | -0.03 |
 train | — | 3 | 1–2 | 33% | -0.03 |
 dust2 | — | 2 | 1–1 | 50% | -0.02 |
| office | — | 2 | 0–2 | 0% | -0.02 |
 vertigo | — | 1 | 0–1 | 0% | -0.02 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Lifetime stats
Most-used weapons
Lifetime map wins
Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.
Skill profile
Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.
Recommended for you
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 10.2683% — below the 15% mark we flag
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.2008 — below the 0.5 mark we flag
- Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 30.6033% — below the 40% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 13–6 | -0.01 | 6% | 7 Jul → | |
| cache | 10–13 | -0.03 | 8% | 7 Jul → | |
| cache | 13–4 | -0.05 | 10% | 7 Jul → | |
| inferno | 16–14 | 0.01 | 15% | 11 Jan → | |
| nuke | 7–13 | -0.01 | 14% | 10 Jan → | |
| overpass | 14–16 | -0.06 | 10% | 5 Oct → | |
| ancient | 13–5 | -0.03 | 11% | 5 Oct → | |
| nuke | 13–8 | -0.07 | 10% | 5 Oct → | |
| nuke | 11–13 | -0.04 | 7% | 23 Aug → | |
| overpass | 2–13 | -0.05 | 12% | 23 Aug → | |
| ancient | 13–10 | 0.11 | 8% | 23 Aug → | |
| nuke | 16–14 | 0.01 | 8% | 18 Aug → | |
| ancient | 15–15 | -0.05 | 16% | 18 Aug → | |
| nuke | 7–13 | -0.09 | 8% | 6 Aug → | |
| ancient | 2–13 | -0.09 | 3% | 6 Aug → | |
| dust2 | 4–13 | -0.05 | 7% | 6 Aug → | |
| inferno | 13–2 | 0.01 | 20% | 6 Aug → | |
| inferno | 16–12 | -0.00 | 3% | 5 Aug → | |
| inferno | 10–13 | -0.01 | 11% | 5 Aug → | |
| ancient | 7–13 | 0.01 | 14% | 13 Jul → | |
| inferno | 10–13 | -0.02 | 15% | 13 Jul → | |
| inferno | 3–13 | -0.05 | 23% | 13 Jul → | |
| inferno | 13–4 | 0.03 | 5% | 13 Jul → | |
| inferno | 13–11 | -0.07 | 10% | 13 Jul → | |
| inferno | 13–6 | 0.03 | 8% | 13 Jul → | |
| inferno | 13–10 | -0.05 | 14% | 13 Jul → | |
| nuke | 4–13 | -0.03 | 8% | 7 Jul → | |
| inferno | 13–5 | 0.04 | 10% | 5 Jul → | |
| ancient | 13–4 | 0.03 | 11% | 5 Jul → | |
| inferno | 13–10 | -0.01 | 8% | 4 Jul → | |
| anubis | 15–15 | -0.01 | 20% | 4 Jul → | |
| anubis | 9–13 | -0.00 | 16% | 4 Jul → | |
| ancient | 13–8 | 0.03 | 12% | 3 Jul → | |
| anubis | 6–13 | -0.05 | 5% | 3 Jul → | |
| ancient | 8–13 | -0.04 | 12% | 1 Jul → | |
| inferno | 13–6 | 0.05 | 9% | 1 Jul → | |
| inferno | 13–10 | -0.01 | 17% | 1 Jul → | |
| mirage | 9–13 | 0.02 | 13% | 12 Jun → | |
| inferno | 13–5 | 0.04 | 12% | 12 Jun → | |
| anubis | 9–13 | 0.03 | 23% | 12 Jun → | |
| inferno | 13–4 | -0.01 | 11% | 11 Jun → | |
| inferno | 13–11 | -0.05 | 8% | 11 Jun → | |
| mirage | 13–11 | -0.05 | 15% | 8 Jun → | |
| office | 11–13 | -0.03 | 15% | 8 Jun → | |
| dust2 | 13–3 | 0.02 | 13% | 8 Jun → | |
| inferno | 9–13 | 0.01 | 14% | 5 Jun → | |
| train | 13–4 | 0.02 | 12% | 5 Jun → | |
| inferno | 12–12 | -0.04 | 10% | 5 Jun → | |
| inferno | 1–4 | -0.02 | 10% | 5 Jun → | |
| inferno | 13–5 | 0.06 | 13% | 5 Jun → | |
| nuke | 13–8 | 0.11 | 16% | 2 Jun → | |
| train | 7–13 | -0.04 | 14% | 30 Apr → | |
| inferno | 8–13 | -0.04 | 11% | 30 Apr → | |
| nuke | 8–13 | -0.03 | 6% | 30 Apr → | |
| anubis | 13–1 | 0.03 | 13% | 30 Apr → | |
| inferno | 10–13 | -0.03 | 14% | 25 Apr → | |
| ancient | 13–9 | 0.10 | 7% | 24 Apr → | |
| inferno | 10–13 | 0.02 | 19% | 24 Apr → | |
| inferno | 0–3 | -0.06 | 0% | 24 Apr → | |
| nuke | 13–10 | -0.02 | 10% | 22 Apr → | |
| inferno | 7–13 | -0.08 | 12% | 22 Apr → | |
| ancient | 8–13 | -0.09 | 5% | 16 Apr → | |
| inferno | 13–11 | -0.04 | 6% | 16 Apr → | |
| inferno | 13–9 | -0.02 | 9% | 16 Apr → | |
| inferno | 15–15 | -0.01 | 8% | 4 Apr → | |
| nuke | 6–13 | -0.03 | 13% | 4 Apr → | |
| inferno | 13–5 | 0.05 | 15% | 4 Apr → | |
| ancient | 9–13 | -0.02 | 10% | 4 Apr → | |
| inferno | 3–13 | -0.05 | 17% | 3 Apr → | |
| inferno | 10–13 | -0.07 | 9% | 3 Apr → | |
| inferno | 13–3 | 0.03 | 11% | 3 Apr → | |
| inferno | 10–13 | -0.01 | 7% | 29 Mar → | |
| ancient | 13–4 | -0.01 | 10% | 29 Mar → | |
| inferno | 7–13 | -0.01 | 24% | 27 Mar → | |
| ancient | 6–13 | -0.05 | 10% | 20 Mar → | |
| anubis | 13–7 | -0.04 | 12% | 20 Mar → | |
| inferno | 11–13 | -0.04 | 17% | 20 Mar → | |
| anubis | 10–13 | -0.00 | 15% | 14 Mar → | |
| inferno | 13–2 | 0.07 | 18% | 14 Mar → | |
| vertigo | 6–13 | -0.02 | 9% | 11 Mar → | |
| inferno | 2–10 | -0.03 | 3% | 11 Mar → | |
| inferno | 13–11 | -0.04 | 8% | 11 Mar → | |
| ancient | 7–13 | 0.06 | 10% | 8 Mar → | |
| overpass | 13–3 | -0.01 | 16% | 8 Mar → | |
| inferno | 13–9 | 0.02 | 17% | 8 Mar → | |
| train | 12–12 | -0.07 | 0% | 8 Mar → | |
| inferno | 13–11 | 0.00 | 12% | 7 Mar → | |
| inferno | 13–8 | 0.00 | 9% | 6 Mar → | |
| ancient | 11–13 | -0.01 | 17% | 5 Mar → | |
| overpass | 8–13 | -0.04 | 9% | 5 Mar → | |
| inferno | 3–13 | -0.08 | 16% | 1 Mar → | |
| ancient | 5–13 | 0.02 | 5% | 1 Mar → | |
| nuke | 13–4 | 0.01 | 11% | 1 Mar → | |
| mirage | 13–7 | 0.10 | 17% | 28 Feb → | |
| office | 5–13 | -0.01 | 6% | 28 Feb → | |
| nuke | 16–13 | 0.03 | 7% | 28 Feb → | |
| mirage | 13–11 | -0.03 | 8% | 27 Feb → | |
| anubis | 13–4 | 0.00 | 11% | 27 Feb → | |
| ancient | 13–6 | -0.02 | 7% | 27 Feb → | |
| inferno | 16–12 | -0.02 | 19% | 27 Feb → |
Match data via Leetify.